Moral Complexities of Student Question-Asking in Classroom Practice
Bibliographic record
Abstract
Prior research on student question-asking has primarily been conducted from a cognitive, epistemological standpoint. In contrast, we present a hermeneutic-phenomenological investigation that emphasizes the moral-practical context in which question-asking functions as a situated way of being in the midst of practice. More particularly, we present a hermeneutic study of student question-asking in a graduate seminar on design theory (i.e., a seminar focused on theory and philosophy of design, emphasizing the work of design scholars such as Simon, Cross, Krippendorff, and Lawson). The study offers a unique moral-practical perspective on this commonly studied phenomenon. Our analysis yielded four themes regarding the moral-practical intricacies of question-asking in this setting, with a particular focus on time-related constraints on participation, various types of background understanding, and value-laden expectations that participants encountered in this complex ecology of practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.071 | 0.155 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.043 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".